title: On the use of simple geometric descriptors provided by RGB-D sensors for re-identification.
abstract: The re-identification problem has been commonly accomplished using appearance features based on salient points and color information. In this paper, we focus on the possibilities that simple geometric features obtained from depth images captured with RGB-D cameras may offer for the task, particularly working under severe illumination conditions. The results achieved for different sets of simple geometric features extracted in a top-view setup seem to provide useful descriptors for the re-identification task, which can be integrated in an ambient intelligent environment as part of a sensor network.
authors.affiliation: SIANI, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria 35017, Spain. jlorenzo@iusiani.ulpgc.es
authors.forename: Javier
authors.initials: J
authors.lastname: Lorenzo-Navarro
authors.forename: Modesto
authors.initials: M
authors.lastname: Castrillón-Santana
authors.forename: Daniel
authors.initials: D
authors.lastname: Hernández-Sosa
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry / Q000295:instrumentation / Q000379:methods*; D003124:Colorimetry / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000295:instrumentation / Q000379:methods*